Research Article
Cloud based IoT Smart Healthcare System for Remote Patient Monitoring
@ARTICLE{10.4108/eai.15-7-2021.170296, author={G. Jaya Lakshmi and Mangesh Ghonge and Ahmed J. Obaid}, title={Cloud based IoT Smart Healthcare System for Remote Patient Monitoring}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={7}, number={28}, publisher={EAI}, journal_a={PHAT}, year={2021}, month={7}, keywords={cloud, IoT, remote patient, smart Healthcare, sensors, cloud-based IoT, Internet of Things, Internet of Things in Healthcare, Health monitoring, Tele-medicine, Raspberry Pi}, doi={10.4108/eai.15-7-2021.170296} }- G. Jaya Lakshmi
Mangesh Ghonge
Ahmed J. Obaid
Year: 2021
Cloud based IoT Smart Healthcare System for Remote Patient Monitoring
PHAT
EAI
DOI: 10.4108/eai.15-7-2021.170296
Abstract
INTRODUCTION: Covid-19 has exposed the necessitate for the rapid acceptance of increasingly pioneering digital health technologies, especially remote health monitoring. The digital revolution in Healthcare is dynamic ease of use of inexpensive concern solutions, enhancing patient care, reducing complications, improving effectiveness, and authorizing healthcare decision-makers with intelligence insight at the point of care.
OBJECTIVES: The primary objective of this work is to depict the need to recognize wearable sensors as a prerequisite for supporting paradigms in monitoring patients in real-time and enabling access information from the cloud.
METHODS: Internet of Things (IoT) is the association of substantial objects where information and communication tools connect various embedded devices to the internet for gathering and switching over data. The combinations of embedded devices with cloud servers recommend extensive pertinence of IoT to several areas of human life. This paper has proposed a method through cloud-based IoT healthcare sensors to formulate patient monitoring remotely. In combination with the implementation of various inbuilt capabilities, internet-enabled heterogeneous wearable sensors can be used for the collection of biomedical data to transmit patient data directly to cloud severe systems to monitor health remotely.
RESULTS: Smart healthcare monitoring includes channels of communication, embedded internal and external sensors, IoT server, and cloud storage. The health parameters activities are done at various levels of refining named application layer, management layer, network layer and layer of device. Different data sensors have been collected by wireless media from nodes. It is saved as an unstructured dataset in the cloud. For security with username and password, a patient database is created. Authorized individuals have access to the cloud in order to monitor cloud sensor data in data log, analogue log, digital input and digital output.
CONCLUSION: Patient physical parameters like heart beat respiration ,high temperature and stress are calculated via sensors and can be progressed by WIFI unit in the cloud. From this healthcare practitioner will analyze medical to have effective medication. For face-to-face consultation between doctors and patients, the video feature can be added in the future work.
Copyright © 2021 G.Jaya Lakshmi et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
